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We present a comprehensive statistical analysis of the properties of Type Ia SN light curves in the near infrared using recent data from PAIRITEL and the literature. We construct a hierarchical Bayesian framework, incorporating several…

Cosmology and Nongalactic Astrophysics · Physics 2009-10-21 Kaisey S. Mandel , W. Michael Wood-Vasey , Andrew S. Friedman , Robert P. Kirshner

Type Ia supernovae (SNe Ia) are standarizable candles whose observed light curves can be used to infer their distances, which can in turn be used in cosmological analyses. As the quantity of observed SNe Ia grows with current and upcoming…

Instrumentation and Methods for Astrophysics · Physics 2024-10-29 Ana Sofía M. Uzsoy , Stephen Thorp , Matthew Grayling , Kaisey S. Mandel

The use of advanced statistical analysis tools is crucial in order to improve cosmological parameter estimates via removal of systematic errors and identification of previously unaccounted for cosmological signals. Here we demonstrate the…

Cosmology and Nongalactic Astrophysics · Physics 2014-04-29 Caroline Heneka , Valerio Marra , Luca Amendola

By using the Sloan Digital Sky Survey (SDSS) first year type Ia supernova (SN Ia) compilation, we compare two different approaches (traditional \chi^2 and complete likelihood) to determine parameter constraints when the magnitude dispersion…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-27 B. L. Lago , M. O. Calvão , S. E. Jorás , R. R. R. Reis , I. Waga , R. Giostri

We describe catalog-level simulations of Type Ia supernova (SN~Ia) light curves in the Dark Energy Survey Supernova Program (DES-SN), and in low-redshift samples from the Center for Astrophysics (CfA) and the Carnegie Supernova Project…

Cosmology and Nongalactic Astrophysics · Physics 2019-05-13 R. Kessler , D. Brout , C. B. D'Andrea , T. M. Davis , S. R. Hinton , A. G. Kim , J. Lasker , C. Lidman , E. Macaulay , A. Möller , M. Sako , D. Scolnic , M. Smith , M. Sullivan , B. Zhang , P. Andersen , J. Asorey , A. Avelino , J. Calcino , D. Carollo , P. Challis , M. Childress , A. Clocchiatti , S. Crawford , A. V. Filippenko , R. J. Foley , K. Glazebrook , J. K. Hoormann , E. Kasai , R. P. Kirshner , G. F. Lewis , K. S. Mandel , M. March , E. Morganson , D. Muthukrishna , P. Nugent , Y. -C. Pan , N. E. Sommer , E. Swann , R. C. Thomas , B. E. Tucker , S. A. Uddin , T. M. C. Abbott , S. Allam , J. Annis , S. Avila , M. Banerji , K. Bechtol , E. Bertin , D. Brooks , E. Buckley-Geer , D. L. Burke , A. Carnero Rosell , M. Carrasco Kind , J. Carretero , F. J. Castander , M. Crocce , L. N. da Costa , C. Davis , J. De Vicente , S. Desai , H. T. Diehl , P. Doel , T. F. Eifler , B. Flaugher , P. Fosalba , J. Frieman , J. Garcia-Bellido , E. Gaztanaga , D. W. Gerdes , D. Gruen , R. A. Gruendl , G. Gutierrez , W. G. Hartley , D. L. Hollowood , K. Honscheid , D. J. James , M. W. G. Johnson , M. D. Johnson , E. Krause , K. Kuehn , N. Kuropatkin , O. Lahav , T. S. Li , M. Lima , J. L. Marshall , P. Martini , F. Menanteau , C. J. Miller , R. Miquel , B. Nord , A. A. Plazas , A. Roodman , E. Sanchez , V. Scarpine , R. Schindler , M. Schubnell , S. Serrano , I. Sevilla-Noarbe , M. Soares-Santos , F. Sobreira , E. Suchyta , G. Tarle , D. Thomas , A. R. Walker , Y. Zhang

A hierarchical Bayesian method is applied to the analysis of Type-Ia supernovae (SNIa) observations to constrain the properties of the dark matter haloes of galaxies along the SNIa lines-of-sight via their gravitational lensing effect. The…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-05 N. V. Karpenka , M. C. March , F. Feroz , M. P. Hobson

Type Ia supernovae (SNe Ia) are standardisable candles: their peak magnitudes can be corrected for correlations between light curve properties and their luminosities to precisely estimate distances. Understanding SN Ia standardisation…

In order to obtain robust cosmological constraints from Type Ia supernova (SN Ia) data, we have applied Markov Chain Monte Carlo (MCMC) to SN Ia lightcurve fitting. We develop a method for sampling the resultant probability density…

Cosmology and Nongalactic Astrophysics · Physics 2016-05-19 Mi Dai , Yun Wang

We present a new method based on a Bayesian hierarchical model to extract constraints on cosmological parameters from SNIa data obtained with the SALT-II lightcurve fitter. We demonstrate with simulated data sets that our method delivers…

Cosmology and Nongalactic Astrophysics · Physics 2016-02-10 M. C. March , R. Trotta , P. Berkes , G. D. Starkman , P. M. Vaudrevange

We use simulated SN Ia samples, including both photometry and spectra, to perform the first direct validation of cosmology analysis using the SALT-II light curve model. This validation includes residuals from the light curve training…

Cosmology and Nongalactic Astrophysics · Physics 2014-10-03 J. Mosher , J. Guy , R. Kessler , P. Astier , J. Marriner , M. Betoule , M. Sako , P. El-Hage , R. Biswas , R. Pain , S. Kuhlmann , N. Regnault , J. A. Frieman , D. P. Schneider

Conventional Type Ia supernova (SN Ia) cosmology analyses currently use a simplistic linear regression of magnitude versus color and light curve shape, which does not model intrinsic SN Ia variations and host galaxy dust as physically…

Cosmology and Nongalactic Astrophysics · Physics 2017-06-28 Kaisey S. Mandel , Daniel Scolnic , Hikmatali Shariff , Ryan J. Foley , Robert P. Kirshner

Type Ia supernovae (SNe Ia) are standardizable candles, but for over a decade, there has been a debate on how to properly account for their correlations with host galaxy properties. Using the Bayesian hierarchical model UNITY, we…

Astrophysics of Galaxies · Physics 2021-03-10 B. M. Rose , D. Rubin , L. Strolger , P. M. Garnavich

While conventional Type Ia supernova (SN Ia) cosmology analyses rely primarily on rest-frame optical light curves to determine distances, SNe Ia are excellent standard candles in near-infrared (NIR) light, which is significantly less…

Cosmology and Nongalactic Astrophysics · Physics 2021-12-15 Kaisey S. Mandel , Stephen Thorp , Gautham Narayan , Andrew S. Friedman , Arturo Avelino

(Abridged) Precision cosmology with Type Ia supernovae (SNe Ia) makes use of the fact that SN Ia luminosities depend on their light-curve shapes and colours. Using Supernova Legacy Survey (SNLS) and other data, we show that there is an…

We discuss how Type Ia supernovae (SNe) strongly magnified by foreground galaxy clusters should be self-consistently treated when used in samples fitted for the cosmological parameters. While the cluster lens magnification of a SN can be…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-18 Adi Zitrin , Matthias Redlich , Tom Broadhurst

Traditional cosmological inference using Type Ia supernovae (SNeIa) have used stretch- and color-corrected fits of SN Ia light curves and assumed a resulting fiducial mean and symmetric intrinsic dispersion for the resulting relative…

Cosmology and Nongalactic Astrophysics · Physics 2016-10-17 Kara A. Ponder , W. Michael Wood-Vasey , Andrew R. Zentner

The peculiar motions of galaxies are powerful cosmological probes that trace the growth of structures and the distribution of matter in the universe, providing a means to investigate the nature of dark energy and test gravity on…

Cosmology and Nongalactic Astrophysics · Physics 2026-03-09 Ujjwal Upadhyay , Tarun Deep Saini , Shiv K. Sethi

Type Ia supernovae (SNe Ia) were instrumental in establishing the acceleration of the universe's expansion. By virtue of their combination of distance reach, precision, and prevalence, they continue to provide key cosmological constraints,…

Measurements of the equation of state of dark energy from surveys of thousands of Type Ia Supernovae (SNe Ia) will be limited by spectroscopic follow-up and must therefore rely on photometric identification, increasing the chance that the…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-19 Bridget L. Falck , Adam G. Riess , Renee Hlozek

The observation of strongly lensed Type Ia supernovae enables both the luminosity and angular diameter distance to a source to be measured simultaneously using a single observation. This feature can be used to measure the distance duality…

Cosmology and Nongalactic Astrophysics · Physics 2021-05-03 Fabrizio Renzi , Natalie B. Hogg , Matteo Martinelli , Savvas Nesseris
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